Large-scale 13C-flux analysis reveals distinct transcriptional control of respiratory and fermentative metabolism in Escherichia coli

The authors analyze the role transcription plays in regulating bacterial metabolic flux. Of 91 transcriptional regulators studied, 2/3 affect absolute fluxes, but only a small number of regulators control the partitioning of flux between different metabolic pathways

Regulation of CodY Activity through Modulation of Intracellular Branched-Chain Amino Acid Pools▿

In several Gram-positive bacterial species, the global transcriptional regulatory protein CodY adjusts the expression of many metabolic genes, apparently in response to changes in the pools of specific metabolites, i.e., the branched-chain amino acids (BCAAs) isoleucine, leucine, and valine (ILV) and the nucleoside triphosphate GTP. CodY not only responds to these metabolites as measured in vitro but also regulates the genes that direct their synthesis. We have constructed a set of strains lacking binding sites for the CodY protein in cis at loci coding for the ILV biosynthetic machinery, effectively overexpressing these genes in an attempt to modulate the ILV input signal to CodY. Metabolite analyses of strains derepressed for genes needed for ILV synthesis revealed more than a 6-fold increase in the valine pool and a 2-fold increase in the isoleucine and leucine pools. Accumulation of the branched-chain amino acids was accompanied by a 24-fold induction of the bkd operon (required for branched-chain fatty acid synthesis) and 6-fold hyperrepression of the CodY-regulated yhdG and yufN genes, demonstrating that CodY perceives intracellular fluctuations in at least one if its input signals. We conclude that changes in the rate of endogenous ILV synthesis serve as an important signal for CodY-mediated gene regulation

(13)C-Labeled Gluconate Tracing as a Direct and Accurate Method for Determining the Pentose Phosphate Pathway Split Ratio in Penicillium chrysogenum

In this study we developed a new method for accurately determining the pentose phosphate pathway (PPP) split ratio, an important metabolic parameter in the primary metabolism of a cell. This method is based on simultaneous feeding of unlabeled glucose and trace amounts of [U-(13)C]gluconate, followed by measurement of the mass isotopomers of the intracellular metabolites surrounding the 6-phosphogluconate node. The gluconate tracer method was used with a penicillin G-producing chemostat culture of the filamentous fungus Penicillium chrysogenum. For comparison, a (13)C-labeling-based metabolic flux analysis (MFA) was performed for glycolysis and the PPP of P. chrysogenum. For the first time mass isotopomer measurements of (13)C-labeled primary metabolites are reported for P. chrysogenum and used for a (13)C-based MFA. Estimation of the PPP split ratio of P. chrysogenum at a growth rate of 0.02 h(−1) yielded comparable values for the gluconate tracer method and the (13)C-based MFA method, 51.8% and 51.1%, respectively. A sensitivity analysis of the estimated PPP split ratios showed that the 95% confidence interval was almost threefold smaller for the gluconate tracer method than for the (13)C-based MFA method (40.0 to 63.5% and 46.0 to 56.5%, respectively). From these results we concluded that the gluconate tracer method permits accurate determination of the PPP split ratio but provides no information about the remaining cellular metabolism, while the (13)C-based MFA method permits estimation of multiple fluxes but provides a less accurate estimate of the PPP split ratio

Transcriptional regulation is insufficient to explain substrate-induced flux changes in Bacillus subtilis

One of the key ways in which microbes are thought to regulate their metabolism is by modulating the availability of enzymes through transcriptional regulation. However, the limited success of efforts to manipulate metabolic fluxes by rewiring the transcriptional network has cast doubt on the idea that transcript abundance controls metabolic fluxes. In this study, we investigate control of metabolic flux in the model bacterium Bacillus subtilis by quantifying fluxes, transcripts, and metabolites in eight metabolic states enforced by different environmental conditions. We find that most enzymes whose flux switches between on and off states, such as those involved in substrate uptake, exhibit large corresponding transcriptional changes. However, for the majority of enzymes in central metabolism, enzyme concentrations were insufficient to explain the observed fluxes-only for a number of reactions in the tricarboxylic acid cycle were enzyme changes approximately proportional to flux changes. Surprisingly, substrate changes revealed by metabolomics were also insufficient to explain observed fluxes, leaving a large role for allosteric regulation and enzyme modification in the control of metabolic fluxes

Metabolic Fluxes during Strong Carbon Catabolite Repression by Malate in Bacillus subtilis*

Commonly glucose is considered to be the only preferred substrate in Bacillus subtilis whose presence represses utilization of other alternative substrates. Because recent data indicate that malate might be an exception, we quantify here the carbon source utilization hierarchy. Based on physiology and transcriptional data during co-utilization experiments with eight carbon substrates, we demonstrate that malate is a second preferred carbon source for B. subtilis, which is rapidly co-utilized with glucose and strongly represses the uptake of alternative substrates. From the different hierarchy and degree of catabolite repression exerted by glucose and malate, we conclude that both substrates might act through different molecular mechanisms. To obtain a quantitative and functional network view of how malate is (co)metabolized, we developed a novel approach to metabolic flux analysis that avoids error-prone, intuitive, and ad hoc decisions on 13C rearrangements. In particular, we developed a rigorous approach for deriving reaction reversibilities by combining in vivo intracellular metabolite concentrations with a thermodynamic feasibility analysis. The thus-obtained analytical model of metabolism was then used for network-wide isotopologue balancing to estimate the intracellular fluxes. These 13C-flux data revealed an extraordinarily high malate influx that is primarily catabolized via the gluconeogenic reactions and toward overflow metabolism. Furthermore, a considerable NADPH-producing malic enzyme flux is required to supply the biosynthetically required NADPH in the presence of malate. Co-utilization of glucose and malate resulted in a synergistic decrease of the respiratory tricarboxylic acid cycle flux